Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/10262
Full metadata record
DC FieldValueLanguage
dc.contributor.authorA. R. Revathi-
dc.contributor.authorP. Rajalakshmi-
dc.date.accessioned2024-02-27T07:28:07Z-
dc.date.available2024-02-27T07:28:07Z-
dc.date.issued2020-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/10262-
dc.description.abstractIn early days, the data used was very less and there were not many industries that were using data in software. The data was in the form of spreadsheets and databases. In that case they found it trouble-free to store, handle and manage the data. It was even easier to bring conclusions from the known information. The world has changed a lot in the past few decades; the amount of data is increasing in an unimaginable way since software is introduced in nearly every place. The information emerges from everywhere, in various forms and in different sizes. Thus, it is laborious to manage huge data especially from the industries and workplaces as said in [l]. This is where Big Data comes in scene-
dc.publisherCSI Communications-
dc.titleBig Data a Technical Approach-
dc.volVol 43-
dc.issuedNo 12-
Appears in Collections:Articles to be qced

Files in This Item:
File SizeFormat 
Big Data A Technical Approach- A R Revathi, P Rajalakshmi and M Swettha.pdf
  Restricted Access
1.75 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.